Nova (NVMI) Intangibles (2015 - 2026)
Nova's Intangibles came in at $39.97 million for the quarter ended Jun 30, 2026, down 20.7% from $50.41 million a year earlier and down 6.1% from the prior quarter.
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Analysis
Nova (NVMI) Intangibles (2015 - 2026) Analysis & Trends
As of Dec 31, 2025, Nova's Intangibles was $45.82 million, up 45.7% from the prior year.
- Intangibles carries a five-year compound annual growth rate of 55.4% (years ended Dec 2020 to Dec 2025).
- Going back by year, Intangibles was $31.46 million in the year ended Dec 31, 2024 (-19.7%), $39.18 million in the year ended Dec 31, 2023 (-10.1%), $43.59 million in the year ended Dec 31, 2022 and $2.6 million in the year ended Dec 31, 2021 (-48.6%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Intangibles since the quarter ended Dec 31, 2024.
- Year-over-year, Intangibles increased in four of the last eight quarters, with growth averaging 12.0%.
- The fastest year-over-year change in Intangibles over five years came in the quarter ended Mar 31, 2022 (growth of 999.6%), and the weakest in the quarter ended Mar 31, 2023 (a decline of 97.1%).
- Business Quant data shows NVMI's Intangibles at $42.56 million (quarter ended Mar 31, 2026), $45.82 million (quarter ended Dec 31, 2025) and $48.13 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 3.00 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 26.33 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | - |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 15.64 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | 634.47 Mn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 2.55 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 315.00 Mn |
| 10 | Nova | 9.62 Bn | 6.78 Bn | 144.16 Mn | 39.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.97 Mn |
| Mar 31, 2026 | 42.56 Mn |
| Dec 31, 2025 | 45.82 Mn |
| Sep 30, 2025 | 48.13 Mn |
| Jun 30, 2025 | 50.41 Mn |
| Mar 31, 2025 | 48.94 Mn |
| Dec 31, 2024 | 31.46 Mn |
| Sep 30, 2024 | 35.16 Mn |
| Jun 30, 2024 | 35.03 Mn |
| Mar 31, 2024 | 36.85 Mn |
| Dec 31, 2023 | 39.18 Mn |
| Sep 30, 2023 | 39.01 Mn |
| Jun 30, 2023 | 41.43 Mn |
| Mar 31, 2023 | 42.97 Mn |
| Dec 31, 2022 | 43.59 Mn |
| Sep 30, 2022 | 41.72 Mn |
| Jun 30, 2022 | 45.46 Mn |
| Mar 31, 2022 | 49.31 Mn |
| Dec 31, 2021 | 2.60 Mn |
| Sep 30, 2021 | 3.34 Mn |
API Access
Nova Intangibles API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=intangibles&ticker=NVMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "NVMI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=NVMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();